Exploratory Analysis Report

Project Overview

This is a demo exploratory analysis report using example data created inside R. It demonstrates the basic steps for data exploration and reporting in preparation for building a prediction algorithm and Shiny app.

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1. Generate Example Data

set.seed(123)

# Create a simple example training dataset with 100 rows
train <- data.frame(
  feature_1 = rnorm(100, mean = 50, sd = 10),
  feature_2 = sample(c("A", "B", "C"), 100, replace = TRUE),
  target_variable = sample(c(0, 1), 100, replace = TRUE)
)

# Show the first 6 rows of the data
head(train)

##   feature_1 feature_2 target_variable
## 1  44.39524         B               1
## 2  47.69823         B               1
## 3  65.58708         A               1
## 4  50.70508         B               0
## 5  51.29288         C               0
## 6  67.15065         C               0

# Histogram of feature_1
hist(train$feature_1, main = "Distribution of Feature 1", xlab = "Feature 1")

# Barplot of feature_2 categories
barplot(table(train$feature_2), main = "Count of Feature 2 Categories", xlab = "Category")